fh-echarts 0.1.0

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fh-echarts

Install

pip install fh-echarts

Or install latest from GitHub:

pip install git+https://github.com/markkvdb/fh-echarts.git

Quick Start

Add echarts_header() to your FastHTML app headers, then use EChart() to render charts:

from fasthtml.common import *
from fh_echarts.core import echarts_header, EChart

app, rt = fast_app(hdrs=(echarts_header(),))

@rt('/')
def get():
    options = {
        "xAxis": {"type": "category", "data": ["Mon", "Tue", "Wed", "Thu", "Fri"]},
        "yAxis": {"type": "value"},
        "series": [{"data": [120, 200, 150, 80, 70], "type": "bar"}]
    }
    return Titled("My Chart", EChart(options))

serve()

Features

Basic Bar Chart

Pass an ECharts option dict to EChart(). Use preview_echart() to preview charts in notebooks.

options = {
    "xAxis": {"type": "category", "data": ["Mon", "Tue", "Wed", "Thu", "Fri"]},
    "yAxis": {"type": "value"},
    "series": [{"data": [120, 200, 150, 80, 70], "type": "bar"}]
}
preview_echart(EChart(options, chart_id="idx_bar"))

Dark Theme

Pass theme="dark" (or "light") to use ECharts’ built-in themes.

options_dark = {
    "title": {"text": "Dark Theme"},
    "xAxis": {"data": ["A", "B", "C", "D"]},
    "yAxis": {},
    "series": [{"type": "bar", "data": [10, 25, 15, 30]}]
}
preview_echart(EChart(options_dark, chart_id="idx_dark", theme="dark"))

JavaScript Functions with JSFunc

ECharts uses JavaScript functions for custom tooltips, axis labels, etc. Normally json.dumps would turn these into literal strings. Wrap them in JSFunc() and they’ll be revived as real JS functions in the browser.

options_fmt = {
    "title": {"text": "Custom Tooltip"},
    "tooltip": {
        "formatter": JSFunc("function(p) { return '<b>' + p.name + '</b>: $' + p.value.toLocaleString(); }")
    },
    "xAxis": {"data": ["Shirts", "Sweaters", "Hats", "Shoes"]},
    "yAxis": {"axisLabel": {
        "formatter": JSFunc("function(v) { return '$' + v; }")
    }},
    "series": [{"type": "bar", "data": [500, 2000, 360, 1200]}]
}
preview_echart(EChart(options_fmt, chart_id="idx_fmt", theme="dark"))

Line and Pie Charts

Any ECharts chart type works — just set "type" in the series.

line_opts = {
    "title": {"text": "Temperature (°C)"},
    "xAxis": {"type": "category", "data": ["Jan", "Feb", "Mar", "Apr", "May", "Jun"]},
    "yAxis": {"type": "value", "axisLabel": {
        "formatter": JSFunc("function(v) { return v + '°C'; }")
    }},
    "series": [{"type": "line", "data": [2, 5, 12, 18, 24, 28], "smooth": True}]
}
preview_echart(EChart(line_opts, chart_id="idx_line"))

pie_opts = {
    "title": {"text": "Browser Share", "left": "center"},
    "tooltip": {
        "formatter": JSFunc("function(p) { return p.name + ': ' + p.percent + '%'; }")
    },
    "series": [{
        "type": "pie", "radius": "60%",
        "data": [
            {"value": 65, "name": "Chrome"},
            {"value": 18, "name": "Safari"},
            {"value": 10, "name": "Firefox"},
            {"value":  7, "name": "Other"}
        ]
    }]
}
preview_echart(EChart(pie_opts, chart_id="idx_pie"))

HTMX Click Integration

Turn chart clicks into server requests with hx_get_click. When a user clicks a data point, an HTMX GET request is fired with name, value, and seriesName as query parameters.

@rt('/')
def get():
    options = {
        "xAxis": {"data": ["Jan", "Feb", "Mar"]},
        "yAxis": {},
        "series": [{"name": "Revenue", "type": "bar", "data": [100, 200, 150]}]
    }
    return Div(
        EChart(options,
               hx_get_click="/bar-clicked",
               hx_target_click="#result"),
        Div(id="result")
    )

@rt('/bar-clicked')
def get(name: str, value: int, seriesName: str):
    return P(f"Clicked {name} ({seriesName}): {value}")

Dynamic Updates with EChartUpdate

Update an existing chart without re-creating it. Return an EChartUpdate from a route to merge new options into the chart.

import random

@rt('/')
def get():
    options = {
        "xAxis": {"data": ["A", "B", "C"]},
        "yAxis": {},
        "series": [{"type": "bar", "data": [10, 20, 30]}]
    }
    return Div(
        EChart(options, chart_id="updatable"),
        Button("Randomize", hx_get="/randomize", hx_target="#update-slot"),
        Div(id="update-slot")
    )

@rt('/randomize')
def get():
    new_data = [random.randint(5, 100) for _ in range(3)]
    return EChartUpdate("updatable", {"series": [{"data": new_data}]})

Set merge=False to replace all options instead of merging.

Memory Cleanup

When HTMX removes a chart from the DOM (e.g. navigating tabs or swapping content), the ECharts instance and ResizeObserver are automatically disposed via the htmx:beforeCleanupElement event. No extra code needed.

API Reference

Function	Description
echarts_header(version)	CDN script tag for ECharts (default v5.5.0)
EChart(options, ...)	Render a chart with optional theme, hx_get_click, hx_target_click
EChartUpdate(chart_id, options, merge)	Update an existing chart instance
JSFunc(js_string)	Mark a string as raw JavaScript (for formatters, callbacks, etc.)
preview_echart(echart, height)	Preview a chart in a notebook via iframe